OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7494, kappa: 0.4943, kb_relative_information_score: 1006.2027, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7507, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8475, scimark_benchmark: 1814.9299, usercpu_time_millis: 229.464, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 227.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7669, kappa: 0.5297, kb_relative_information_score: 1030.7545, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8331, scimark_benchmark: 1818.688, usercpu_time_millis: 256.429, usercpu_time_millis_testing: 2.324, usercpu_time_millis_training: 254.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7654, kappa: 0.5268, kb_relative_information_score: 1003.1612, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8366, scimark_benchmark: 1853.3841, usercpu_time_millis: 176.731, usercpu_time_millis_testing: 2.216, usercpu_time_millis_training: 174.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.1692, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.0221, usercpu_time_millis: 5.196, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 4.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3813, kb_relative_information_score: -5.2002, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0002, scimark_benchmark: 1799.2518, usercpu_time_millis: 4.202, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 3.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1202, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1822.3834, usercpu_time_millis: 4.95, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 4.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0953, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1791.5154, usercpu_time_millis: 8.855, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 7.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1185, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1789.8414, usercpu_time_millis: 8.302, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 7.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7642, kappa: 0.5242, kb_relative_information_score: 1103.3621, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.765, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8266, scimark_benchmark: 1781.4466, usercpu_time_millis: 38.921, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 38.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 969.5821, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8799, scimark_benchmark: 1717.041, usercpu_time_millis: 35.7, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 34.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 962.0911, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8625, scimark_benchmark: 1735.4752, usercpu_time_millis: 251.297, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 249.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.751, kappa: 0.4976, kb_relative_information_score: 766.4068, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7514, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8748, scimark_benchmark: 750.1544, usercpu_time_millis: 339.712, usercpu_time_millis_testing: 3.237, usercpu_time_millis_training: 336.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7856, kappa: 0.5677, kb_relative_information_score: 1498.8163, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7856, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7894, scimark_benchmark: 1792.1165, usercpu_time_millis: 45.514, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 44.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7764, kappa: 0.549, kb_relative_information_score: 1403.1972, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7765, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8073, scimark_benchmark: 750.2398, usercpu_time_millis: 44.615, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 43.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: 0.2218, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 751.3417, usercpu_time_millis: 9.745, usercpu_time_millis_testing: 1.49, usercpu_time_millis_training: 8.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.0843, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 748.7405, usercpu_time_millis: 19.07, usercpu_time_millis_testing: 2.501, usercpu_time_millis_training: 16.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7324, kappa: 0.4604, kb_relative_information_score: 498.8203, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7324, predictive_accuracy: 0.7329, prior_entropy: 0.9948, recall: 0.7329, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9148, scimark_benchmark: 1715.6493, usercpu_time_millis: 17.122, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 16.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 929.5165, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8793, scimark_benchmark: 1817.4453, usercpu_time_millis: 348.462, usercpu_time_millis_testing: 1.763, usercpu_time_millis_training: 346.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7678, kappa: 0.5315, kb_relative_information_score: 1075.2797, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7684, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8278, scimark_benchmark: 1849.3742, usercpu_time_millis: 223.435, usercpu_time_millis_testing: 1.82, usercpu_time_millis_training: 221.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 974.0148, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8804, scimark_benchmark: 1853.9121, usercpu_time_millis: 231.219, usercpu_time_millis_testing: 1.197, usercpu_time_millis_training: 230.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7513, kappa: 0.4981, kb_relative_information_score: 862.6866, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7532, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8613, scimark_benchmark: 1735.5368, usercpu_time_millis: 109.576, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 108.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0244, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1145.9595, usercpu_time_millis: 12.552, usercpu_time_millis_testing: 2.325, usercpu_time_millis_training: 10.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7317, kappa: 0.4589, kb_relative_information_score: 662.5574, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7318, predictive_accuracy: 0.7323, prior_entropy: 0.9948, recall: 0.7323, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8894, scimark_benchmark: 1731.5618, usercpu_time_millis: 29.216, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 28.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1843.2259, usercpu_time_millis: 8.523, usercpu_time_millis_testing: 1.618, usercpu_time_millis_training: 6.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7813, kappa: 0.5594, kb_relative_information_score: 1450.8517, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7813, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7954, scimark_benchmark: 1735.9375, usercpu_time_millis: 11.094, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 10.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.6507, kappa: 0.3049, kb_relative_information_score: 263.9747, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6726, predictive_accuracy: 0.6641, prior_entropy: 0.9948, recall: 0.6641, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9528, scimark_benchmark: 1763.4347, usercpu_time_millis: 19.663, usercpu_time_millis_testing: 2.102, usercpu_time_millis_training: 17.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7602, kappa: 0.5162, kb_relative_information_score: 1256.7183, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.762, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8225, scimark_benchmark: 1840.2451, usercpu_time_millis: 239.362, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 238.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7537, kappa: 0.503, kb_relative_information_score: 1134.6049, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.755, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8429, scimark_benchmark: 1843.2022, usercpu_time_millis: 256.582, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 255.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.739, kappa: 0.4751, kb_relative_information_score: 1050.9472, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7397, predictive_accuracy: 0.7387, prior_entropy: 0.9948, recall: 0.7387, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8477, scimark_benchmark: 1735.1328, usercpu_time_millis: 189.351, usercpu_time_millis_testing: 1.175, usercpu_time_millis_training: 188.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7615, kappa: 0.5187, kb_relative_information_score: 1109.8117, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7642, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.414, root_relative_squared_error: 0.831, scimark_benchmark: 1737.4053, usercpu_time_millis: 259.204, usercpu_time_millis_testing: 1.376, usercpu_time_millis_training: 257.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 958.4022, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8777, scimark_benchmark: 1242.7617, usercpu_time_millis: 278.896, usercpu_time_millis_testing: 1.679, usercpu_time_millis_training: 277.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0534, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1727.2167, usercpu_time_millis: 5.925, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 4.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.039, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1725.3223, usercpu_time_millis: 8.956, usercpu_time_millis_testing: 1.29, usercpu_time_millis_training: 7.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7092, kappa: 0.4133, kb_relative_information_score: 408.1488, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7115, predictive_accuracy: 0.7115, prior_entropy: 0.9948, recall: 0.7115, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9286, scimark_benchmark: 1094.8935, usercpu_time_millis: 18.715, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 17.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1555.4542, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7614, scimark_benchmark: 1242.8529, usercpu_time_millis: 132.465, usercpu_time_millis_testing: 1.836, usercpu_time_millis_training: 130.629,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 971.3635, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8795, scimark_benchmark: 1838.8181, usercpu_time_millis: 137.821, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 136.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.76, kappa: 0.5157, kb_relative_information_score: 1035.3617, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8374, scimark_benchmark: 1850.9652, usercpu_time_millis: 194.808, usercpu_time_millis_testing: 1.336, usercpu_time_millis_training: 193.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.1164, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1755.7828, usercpu_time_millis: 7.532, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 6.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0824, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1799.0909, usercpu_time_millis: 9.927, usercpu_time_millis_testing: 1.457, usercpu_time_millis_training: 8.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: 0.0267, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1761.1241, usercpu_time_millis: 5.821, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 4.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.2064, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1778.7527, usercpu_time_millis: 8.735, usercpu_time_millis_testing: 1.379, usercpu_time_millis_training: 7.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.313, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1779.2309, usercpu_time_millis: 5.877, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 5.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1477, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1797.9581, usercpu_time_millis: 7.792, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 6.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7252, kappa: 0.4456, kb_relative_information_score: 666.1905, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7253, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.888, scimark_benchmark: 781.2859, usercpu_time_millis: 16.309, usercpu_time_millis_testing: 1.449, usercpu_time_millis_training: 14.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7539, kappa: 0.5037, kb_relative_information_score: 903.1525, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8511, scimark_benchmark: 1837.345, usercpu_time_millis: 15.728, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 14.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7556, kappa: 0.5068, kb_relative_information_score: 928.6678, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8518, scimark_benchmark: 1823.3064, usercpu_time_millis: 24.478, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 23.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.3107, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1815.5549, usercpu_time_millis: 4.803, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 4.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.5097, kappa: 0.1362, kb_relative_information_score: 132.0597, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7033, predictive_accuracy: 0.5988, prior_entropy: 0.9948, recall: 0.5988, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9758, scimark_benchmark: 1817.5736, usercpu_time_millis: 9.859, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 8.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7882, kappa: 0.5738, kb_relative_information_score: 1632.5235, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7886, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7881, scimark_benchmark: 1850.9652, usercpu_time_millis: 59.295, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 58.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7332, kappa: 0.4629, kb_relative_information_score: 571.0296, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7334, predictive_accuracy: 0.7331, prior_entropy: 0.9948, recall: 0.7331, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9029, scimark_benchmark: 1847.7988, usercpu_time_millis: 76.039, usercpu_time_millis_testing: 1.474, usercpu_time_millis_training: 74.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.8, kappa: 0.5968, kb_relative_information_score: 1313.0391, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1832.3702, usercpu_time_millis: 62.55, usercpu_time_millis_testing: 1.871, usercpu_time_millis_training: 60.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7994, kappa: 0.5953, kb_relative_information_score: 1572.7196, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7642, scimark_benchmark: 1806.0987, usercpu_time_millis: 72.913, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 71.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7374, kappa: 0.4721, kb_relative_information_score: 871.6589, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7382, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8709, scimark_benchmark: 1826.2133, usercpu_time_millis: 79.262, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 78.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7548, kappa: 0.5052, kb_relative_information_score: 975.3283, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8484, scimark_benchmark: 1810.266, usercpu_time_millis: 87.298, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 86.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.781, kappa: 0.5581, kb_relative_information_score: 1347.2725, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7815, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7967, scimark_benchmark: 1838.7526, usercpu_time_millis: 122.593, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 121.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: -0.0643, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1811.2636, usercpu_time_millis: 9.408, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 7.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0873, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1806.3111, usercpu_time_millis: 9.405, usercpu_time_millis_testing: 1.506, usercpu_time_millis_training: 7.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: 0.0133, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.4321, usercpu_time_millis: 4.812, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 4.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.2781, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1822.9739, usercpu_time_millis: 5.094, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 4.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0006, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.8212, usercpu_time_millis: 10.734, usercpu_time_millis_testing: 1.513, usercpu_time_millis_training: 9.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7472, kappa: 0.4899, kb_relative_information_score: 665.2732, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7477, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8888, scimark_benchmark: 1819.4647, usercpu_time_millis: 28.231, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 27.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0076, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1821.2993, usercpu_time_millis: 9.821, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 8.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7774, kappa: 0.551, kb_relative_information_score: 1394.5619, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7776, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8012, scimark_benchmark: 1832.3042, usercpu_time_millis: 79.375, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 78.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7603, kappa: 0.5165, kb_relative_information_score: 1239.4786, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7605, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8311, scimark_benchmark: 1808.1865, usercpu_time_millis: 13.917, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 13.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7279, kappa: 0.4511, kb_relative_information_score: 661.3419, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7283, predictive_accuracy: 0.7289, prior_entropy: 0.9948, recall: 0.7289, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8889, scimark_benchmark: 1798.2259, usercpu_time_millis: 47.743, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 46.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7442, kappa: 0.484, kb_relative_information_score: 648.625, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7449, prior_entropy: 0.9948, recall: 0.7449, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8916, scimark_benchmark: 1823.3487, usercpu_time_millis: 122.85, usercpu_time_millis_testing: 1.773, usercpu_time_millis_training: 121.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0054, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1800.0837, usercpu_time_millis: 7.826, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 6.58,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs